/telemetry · third leg
The measurement loop that closes positioning → assets → outcomes.
Generated assets fan out to channels. Channels produce numbers. Numbers feed back into the YAML via concrete edit suggestions. This is the missing leg the JD asks for: agent infrastructure that measures itself and shortens time-to-iterate, not a one-way content factory.
Impressions
214,755
Engaged
17,439
8.1% CTR
Conversions
1,932
11.1% of engaged
Spend
$3,065
Paid channels only
Blended CPL
$1.59
4 products
Per-product channel performance
USDC
45,257 impressions · 426 conversions · CPL $1.54
| Channel | Impressions | CTR | Engaged | Conv. rate | Conversions | Spend | CPL |
|---|---|---|---|---|---|---|---|
| LinkedIn ads | 34,700 | 2.4% | 825 | 8.9% | 73 | $625 | $8.56 |
| Landing page | 7,488 | 20.6% | 1,540 | 7.8% | 121 | $30 | $0.25 |
| Email nurture | 1,448 | 31.8% | 460 | 13.6% | 63 | — | — |
| One-pager (asset views) | 1,079 | 58.7% | 633 | 18.6% | 118 | — | — |
| Battlecards (BD opens)top conv. | 284 | 55.7% | 158 | 19.3% | 31 | — | — |
| BD talk track (calls used) | 258 | 78.8% | 203 | 10.0% | 20 | — | — |
EURC
60,540 impressions · 508 conversions · CPL $1.67
| Channel | Impressions | CTR | Engaged | Conv. rate | Conversions | Spend | CPL |
|---|---|---|---|---|---|---|---|
| LinkedIn ads | 44,978 | 2.4% | 1,079 | 5.8% | 63 | $810 | $13 |
| Landing page | 10,001 | 24.4% | 2,435 | 7.0% | 170 | $40 | $0.24 |
| Email nurture | 3,595 | 30.9% | 1,112 | 12.7% | 141 | — | — |
| One-pager (asset views) | 1,355 | 37.2% | 505 | 13.9% | 70 | — | — |
| Battlecards (BD opens) | 414 | 56.9% | 236 | 16.1% | 38 | — | — |
| BD talk track (calls used)top conv. | 197 | 65.6% | 129 | 19.9% | 26 | — | — |
CCTP v2
69,842 impressions · 445 conversions · CPL $2.40
| Channel | Impressions | CTR | Engaged | Conv. rate | Conversions | Spend | CPL |
|---|---|---|---|---|---|---|---|
| LinkedIn ads | 57,340 | 1.8% | 1,024 | 6.5% | 67 | $1,032 | $15 |
| Landing page | 9,029 | 19.5% | 1,764 | 11.3% | 200 | $36 | $0.18 |
| Email nurture | 1,825 | 36.0% | 656 | 13.2% | 86 | — | — |
| One-pager (asset views) | 1,085 | 24.9% | 270 | 14.5% | 39 | — | — |
| Battlecards (BD opens) | 447 | 55.2% | 247 | 11.8% | 29 | — | — |
| BD talk track (calls used)top conv. | 116 | 78.2% | 91 | 26.7% | 24 | — | — |
Circle Mint
39,116 impressions · 553 conversions · CPL $0.89
| Channel | Impressions | CTR | Engaged | Conv. rate | Conversions | Spend | CPL |
|---|---|---|---|---|---|---|---|
| LinkedIn ads | 25,405 | 1.1% | 268 | 7.0% | 19 | $457 | $24 |
| Landing page | 8,821 | 24.4% | 2,157 | 13.1% | 282 | $35 | $0.13 |
| Email nurture | 2,898 | 39.1% | 1,133 | 13.3% | 151 | — | — |
| One-pager (asset views) | 1,492 | 13.7% | 205 | 13.3% | 27 | — | — |
| Battlecards (BD opens) | 294 | 68.2% | 200 | 20.7% | 41 | — | — |
| BD talk track (calls used)top conv. | 206 | 53.1% | 109 | 30.2% | 33 | — | — |
Closing the loop · YAML edit suggestions
USDC · linkedin ads
LinkedIn CPL is $9 — the "Differentiator 1" angle underperforms vs proof-point angles.
Suggested YAML edit
Edit products[id=usdc].proof_points — promote the highest-CTR proof to position 1. Regenerate ads; the new variants prefer position 1 proof in the "Proof" angles.
EURC · linkedin ads
LinkedIn CPL is $13 — the "Differentiator 1" angle underperforms vs proof-point angles.
Suggested YAML edit
Edit products[id=eurc].proof_points — promote the highest-CTR proof to position 1. Regenerate ads; the new variants prefer position 1 proof in the "Proof" angles.
CCTP v2 · linkedin ads
LinkedIn CPL is $15 — the "Differentiator 3" angle underperforms vs proof-point angles.
Suggested YAML edit
Edit products[id=cctp].proof_points — promote the highest-CTR proof to position 1. Regenerate ads; the new variants prefer position 1 proof in the "Proof" angles.
Circle Mint · linkedin ads
LinkedIn CPL is $24 — the "For fintech" angle underperforms vs proof-point angles.
Suggested YAML edit
Edit products[id=circle-mint].proof_points — promote the highest-CTR proof to position 1. Regenerate ads; the new variants prefer position 1 proof in the "Proof" angles.
Implementation note · what's real vs. demo
Numbers are seeded deterministically from the source-of-truth hash so the loop is reproducible in a demo. In production, this surface reads from LinkedIn Campaign Manager, HubSpot or Marketo, GA4, and Salesforce opportunity stages — same shape, real attribution. The point isn't the data source, it's the feedback arrow: channel outcome → YAML edit → regenerate. Most marketing stacks have the inputs and outputs but no first-class connection between them.